ZAPBench is a new whole-brain activity dataset and benchmark developed in collaboration with HHMI Janelia and Harvard, focusing on the larval zebrafish brain with single-cell resolution. This resource aims to facilitate the creation and comparison of more precise brain activity models. The brain contains an immense number of neurons that transmit complex electrical patterns via synaptic networks, driving behavior. Connectomics, which maps all neural connections, provides critical insights into this complexity. Over the past decade, Google has significantly advanced connectomics by generating structural brain maps across species, including humans. However, structural maps alone are insufficient; they reveal connections but not their functional dynamics. To fully comprehend how these connections operate, dynamic neuronal activity data over time is essential. ZAPBench addresses this gap by offering detailed temporal activity data, enabling deeper exploration of brain function and behavior relationships.

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